Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

4,866 detections

Detects the DriverFixer0428 macOS credential stealer, attributed to the North Korean 'Contagious Interview' campaign. This rule identifies the malware based on unique internal strings, network IOCs related to Dropbox exfiltration, and social engineering text.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
40106
Detects a specific DLL side-loading pattern used by APT37 in the 'Operation Artemis' campaign. A legitimate Sysinternals utility (e.g., 'mhelp.exe', 'vhelp.exe', 'Volumeid1.exe') is executed from a suspicious directory and loads a malicious 'version.dll' from the same path.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
40112
Detects the presence of a file with a specific SHA-256 hash associated with a Linux Sliver TCP Pivot implant. This implant has been linked to the CL-CRI-1036 group and is used as a precursor to 01flip ransomware deployment. The rule searches across file and process events for this high-fidelity indicator of compromise.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
181174
Detects PNG files containing a steganographic marker ('===') used by the GhostPoster malware campaign to hide a JavaScript payload. This technique was observed in malicious Firefox browser extensions.
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Tim Peck@timpeck
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Detections.ai Community
11 months ago
61103
This rule detects a specific sequence of commands often used by ransomware, particularly the '01flip' variant, to self-delete after execution. The sequence involves 'ping.exe' for a delay, 'fsutil.exe' to zero out file data, and 'cmd.exe' to delete files. The rule correlates these events within a short timeframe, initiated by the same process on a given device.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
131169
Detects the execution of the AutoHotKey interpreter (AutoHotKey.exe) as a child process of common initial access applications like web browsers, Microsoft Office products, or command-line interpreters. This behavior is a key indicator of the latest DarkGate malware infection chain.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
151139
Detects the mass renaming or creation of files with the '.01flip' extension, which is characteristic of the 01flip ransomware. A high count of these files on a single host is a strong indicator of an active ransomware infection.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
92127
Detects Microsoft Excel spawning an executable in a typical malware staging directory directory. This behavior is a strong indicator of a malicious XLL loader used by the Paper Werewolf (GOFFEE) group to drop the EchoGather backdoor.
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Tim Peck@timpeck
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Detections.ai Community
11 months ago
4070
Detects outbound network connections to a list of IP addresses identified as high-confidence command and control (C2) infrastructure for the Clop ransomware group. This infrastructure has been observed across multiple campaigns, including the exploitation of vulnerabilities like CVE-2025-61882 (Oracle E-Business Suite), CVE-2023-34362 (MOVEit), and CVE-2023-0669 (GoAnywhere).
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Georg Lauenstein@gsec
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Detections.ai Community
11 months ago
51130
Detects the renaming of VMware virtual machine related files to a new file ending with the '.emario' extension. This behavior is characteristic of the RansomHouse 'Mario' encryptor.
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Elgonad .@elgonad
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Detections.ai Community
11 months ago
31115
Detects files associated with the Cl0p ransomware group's exploitation of the Oracle E-Business Suite vulnerability (CVE-2025-61882).
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Georg Lauenstein@gsec
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Detections.ai Community
11 months ago
40103
Detects the mass creation of the 'RECOVER-YOUR-FILE.TXT' ransom note, a behavior characteristic of the 01flip ransomware. A high count of these notes on a single host is a strong indicator of compromise, suggesting that data has been encrypted for impact.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
5160
Detects the MrAgent binary, a deployment tool used in RansomHouse operations to manage compromised ESXi hosts and deploy the 'Mario' encryptor.
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Matt Brady@mbrady5299
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Detections.ai Community
11 months ago
2180
This rule query identifies likely post‑exploitation activity associated with React2Shell (CVE-2025-55182) in which Part 1 identifies web servers spawning unusual child processes (such as command shells or system utilities) combined with suspicious command-line patterns, which may indicate post-exploitation behavior following a compromise. and part 2 detects web servers making outbound network connections to known malicious IPs or hostnames, or to domains associated with tunneling services (e.g., trycloudflare.com), suggesting potential command-and-control activity or data exfiltration.
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Navdeep Sharma@navvi24
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Detections.ai Community
11 months ago
20572,107
This rule detects suspicious network connections to known malicious URLs associated with a Docker Desktop malware campaign. It also identifies instances where 'DockerDesktop.exe' is executed or present in unusual file paths, suggesting potential masquerading or unauthorized deployment outside of its standard installation directory. The rule is broken into three parts: network events, file events, and process events. The network part looks for connections to specific malicious domains. The file and process parts look for 'DockerDesktop.exe' in folders other than the assumed legitimate installation path, indicating potential malicious activity.
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doyou know@doyouknow
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Detections.ai Community
11 months ago
341328
Detects the ransom note file 'How To Restore Your Files.txt' created by the RansomHouse 'Mario' encryptor.
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Matt Brady@mbrady5299
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Detections.ai Community
11 months ago
2147
Detects the creation of suspicious files (e.g., web shells, executables) by a Node.js or Next.js server process. This activity is a common post-exploitation step after a successful RCE, such as from exploiting CVE-2025-55182 (React2Shell), where an attacker drops a backdoor for persistence.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
671816
This rule detects WebSocket C2 authentication attempts by the Frogblight mobile banking malware. It specifically looks for the hardcoded login key '{"login_key":"fg_a1b2c3d4e5f6"}' within TCP traffic destined for external networks.
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Tim Peck@timpeck
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Detections.ai Community
11 months ago
0037
Detects Indicators of Compromise (IOCs) associated with React2Shell (CVE-2025-55182) exploitation attempts. This includes network connections to known malicious IP addresses, DNS queries for attacker-controlled domains, process creations involving suspicious command-line arguments (often related to downloading or executing scripts/binaries), and file hashes of known malicious artifacts. The exploit activity is linked to C2 communication, data exfiltration, and potentially cryptomining activities.
Effy Elden@ineffyble
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Detections.ai Community
11 months ago
443609
Detects the ZinFoq Go-based post-exploitation implant. This rule identifies the binary based on a unique, hardcoded timestamp string used for its timestomping anti-forensics feature, along with other specific C2 artifacts.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
11 months ago
2069
Detects network connections to Discord webhook URLs from non-standard processes. This technique is often used by malware, such as Phantom Stealer, to exfiltrate stolen data.
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Tim Peck@timpeck
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Detections.ai Community
11 months ago
4087
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